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AIPS
1998
13 years 10 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
NIPS
2000
13 years 10 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
TIP
2008
169views more  TIP 2008»
13 years 9 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
CVGIP
2000
89views more  CVGIP 2000»
13 years 8 months ago
3D Volume Rotation Using Shear Transformations
We presenta group of methods of decomposingan arbitrary 3D volume rotation into a sequenceof simple shear(i.e., regular shift) operations. We explore different types of shear oper...
Baoquan Chen, Arie E. Kaufman
BC
1998
118views more  BC 1998»
13 years 8 months ago
A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets
Abstract. A stochastic spike train analysis technique is introduced to reveal the correlation between the firing of the next spike and the temporal integration period of two conse...
David C. Tam